Higher-Order Fourier Analysis and Applications

Higher-Order Fourier Analysis and Applications PDF

Author: Hamed Hatami

Publisher:

Published: 2019-09-26

Total Pages: 230

ISBN-13: 9781680835922

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Higher-order Fourier Analysis and Applications provides an introduction to the field of higher-order Fourier analysis with an emphasis on its applications to theoretical computer science. Higher-order Fourier analysis is an extension of the classical Fourier analysis. It has been developed by several mathematicians over the past few decades in order to study problems in an area of mathematics called additive combinatorics, which is primarily concerned with linear patterns such as arithmetic progressions in subsets of integers. The monograph is divided into three parts: Part I discusses linearity testing and its generalization to higher degree polynomials. Part II present the fundamental results of the theory of higher-order Fourier analysis. Part III uses the tools developed in Part II to prove some general results about property testing for algebraic properties. It describes applications of the theory of higher-order Fourier analysis in theoretical computer science, and, to this end, presents the foundations of this theory through such applications; in particular to the area of property testing.

Higher-order Fourier Analysis with Applications to Additive Combinatorics and Theoretical Computer Science

Higher-order Fourier Analysis with Applications to Additive Combinatorics and Theoretical Computer Science PDF

Author: Jonathan B. Tidor

Publisher:

Published: 2022

Total Pages: 0

ISBN-13:

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Fourier analysis has been used for over one hundred years as a tool to study certain additive patterns. For example, Vinogradov used Fourier-analytic techniques (known in this context as the Hardy-Littlewood circle method) to show that every sufficiently-large odd integer can be written as the sum of three primes, while van der Corput similarly showed that the primes contain infinitely-many three-term arithmetic progressions. Over the past two decades, a theory of higher-order Fourier analysis has been developed to study additive patterns which are not amenable to classical Fourier-analytic techniques. For example, while three-term arithmetic progressions can be studied with Fourier analysis, all longer arithmetic progressions require higher-order techniques. These techniques have led to a new proof of Szemerédi's theorem in addition to results such as counts of k-term arithmetic progressions in the primes. This thesis contains five results in the field of higher-order Fourier analysis. In the first half, we use these techniques to give applications in additive combinatorics and theoretical computer science. We prove an induced arithmetic removal lemma first in complexity 1 and then for patterns of all complexities. This latter result solves a central problem in property testing known as the classification of testable arithmetic properties. We then study a class of multidimensional patterns and show that many of them satisfy the popular difference property analogously to the one-dimensional case. However there is a surprising spectral condition which we prove necessarily appears in higher dimensions that is not present in the one-dimensional problem. In the second half of this thesis, we further develop the foundations of higher-order Fourier analysis. We determine the set of higher-order characters necessary over [mathematical notation], showing that classical polynomials suffice in the inverse theorem for the Gowers U[superscript k]-norm when k≤p+1, but that non-classical polynomials are necessary whenever k>p+1. Finally, we prove the first quantitative bounds on the U4-inverse theorem in the low-characteristic regime p

Higher Order Fourier Analysis

Higher Order Fourier Analysis PDF

Author: Terence Tao

Publisher: American Mathematical Soc.

Published: 2012-10-04

Total Pages: 202

ISBN-13: 0821889869

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Traditional Fourier analysis, which has been remarkably effective in many contexts, uses linear phase functions to study functions. Some questions, such as problems involving arithmetic progressions, naturally lead to the use of quadratic or higher order phases. Higher order Fourier analysis is a subject that has become very active only recently. Gowers, in groundbreaking work, developed many of the basic concepts of this theory in order to give a new, quantitative proof of Szemeredi's theorem on arithmetic progressions. However, there are also precursors to this theory in Weyl's classical theory of equidistribution, as well as in Furstenberg's structural theory of dynamical systems. This book, which is the first monograph in this area, aims to cover all of these topics in a unified manner, as well as to survey some of the most recent developments, such as the application of the theory to count linear patterns in primes. The book serves as an introduction to the field, giving the beginning graduate student in the subject a high-level overview of the field. The text focuses on the simplest illustrative examples of key results, serving as a companion to the existing literature on the subject. There are numerous exercises with which to test one's knowledge.

Higher-Order Fourier Analysis and Applications

Higher-Order Fourier Analysis and Applications PDF

Author: Hamed Hatami

Publisher:

Published: 2019-09-26

Total Pages: 230

ISBN-13: 9781680835922

DOWNLOAD EBOOK →

Higher-order Fourier Analysis and Applications provides an introduction to the field of higher-order Fourier analysis with an emphasis on its applications to theoretical computer science. Higher-order Fourier analysis is an extension of the classical Fourier analysis. It has been developed by several mathematicians over the past few decades in order to study problems in an area of mathematics called additive combinatorics, which is primarily concerned with linear patterns such as arithmetic progressions in subsets of integers. The monograph is divided into three parts: Part I discusses linearity testing and its generalization to higher degree polynomials. Part II present the fundamental results of the theory of higher-order Fourier analysis. Part III uses the tools developed in Part II to prove some general results about property testing for algebraic properties. It describes applications of the theory of higher-order Fourier analysis in theoretical computer science, and, to this end, presents the foundations of this theory through such applications; in particular to the area of property testing.

Fourier Analysis and Its Applications

Fourier Analysis and Its Applications PDF

Author: Anders Vretblad

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 275

ISBN-13: 0387217231

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A carefully prepared account of the basic ideas in Fourier analysis and its applications to the study of partial differential equations. The author succeeds to make his exposition accessible to readers with a limited background, for example, those not acquainted with the Lebesgue integral. Readers should be familiar with calculus, linear algebra, and complex numbers. At the same time, the author has managed to include discussions of more advanced topics such as the Gibbs phenomenon, distributions, Sturm-Liouville theory, Cesaro summability and multi-dimensional Fourier analysis, topics which one usually does not find in books at this level. A variety of worked examples and exercises will help the readers to apply their newly acquired knowledge.

Lectures on the Fourier Transform and Its Applications

Lectures on the Fourier Transform and Its Applications PDF

Author: Brad G. Osgood

Publisher: American Mathematical Soc.

Published: 2019-01-18

Total Pages: 689

ISBN-13: 1470441918

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This book is derived from lecture notes for a course on Fourier analysis for engineering and science students at the advanced undergraduate or beginning graduate level. Beyond teaching specific topics and techniques—all of which are important in many areas of engineering and science—the author's goal is to help engineering and science students cultivate more advanced mathematical know-how and increase confidence in learning and using mathematics, as well as appreciate the coherence of the subject. He promises the readers a little magic on every page. The section headings are all recognizable to mathematicians, but the arrangement and emphasis are directed toward students from other disciplines. The material also serves as a foundation for advanced courses in signal processing and imaging. There are over 200 problems, many of which are oriented to applications, and a number use standard software. An unusual feature for courses meant for engineers is a more detailed and accessible treatment of distributions and the generalized Fourier transform. There is also more coverage of higher-dimensional phenomena than is found in most books at this level.

Real Analysis and Applications

Real Analysis and Applications PDF

Author: Frank Morgan

Publisher: American Mathematical Society

Published: 2021-10-25

Total Pages: 209

ISBN-13: 1470465019

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Real Analysis and Applications starts with a streamlined, but complete approach to real analysis. It finishes with a wide variety of applications in Fourier series and the calculus of variations, including minimal surfaces, physics, economics, Riemannian geometry, and general relativity. The basic theory includes all the standard topics: limits of sequences, topology, compactness, the Cantor set and fractals, calculus with the Riemann integral, a chapter on the Lebesgue theory, sequences of functions, infinite series, and the exponential and Gamma functions. The applications conclude with a computation of the relativistic precession of Mercury's orbit, which Einstein called "convincing proof of the correctness of the theory [of General Relativity]." The text not only provides clear, logical proofs, but also shows the student how to come up with them. The excellent exercises come with select solutions in the back. Here is a text which makes it possible to do the full theory and significant applications in one semester. Frank Morgan is the author of six books and over one hundred articles on mathematics. He is an inaugural recipient of the Mathematical Association of America's national Haimo award for excellence in teaching. With this applied version of his Real Analysis text, Morgan brings his famous direct style to the growing numbers of potential mathematics majors who want to see applications right along with the theory.

Fourier Analysis and Applications

Fourier Analysis and Applications PDF

Author: Claude Gasquet

Publisher: Springer Science & Business Media

Published: 1998-11-06

Total Pages: 465

ISBN-13: 0387984852

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The object of this book is two-fold -- on the one hand it conveys to mathematical readers a rigorous presentation and exploration of the important applications of analysis leading to numerical calculations. On the other hand, it presents physics readers with a body of theory in which the well-known formulae find their justification. The basic study of fundamental notions, such as Lebesgue integration and theory of distribution, allow the establishment of the following areas: Fourier analysis and convolution Filters and signal analysis time-frequency analysis (gabor transforms and wavelets). The whole is rounded off with a large number of exercises as well as selected worked-out solutions.

Fourier Analysis and Its Applications

Fourier Analysis and Its Applications PDF

Author: G. B. Folland

Publisher: American Mathematical Soc.

Published: 2009

Total Pages: 447

ISBN-13: 0821847902

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This book presents the theory and applications of Fourier series and integrals, eigenfunction expansions, and related topics, on a level suitable for advanced undergraduates. It includes material on Bessel functions, orthogonal polynomials, and Laplace transforms, and it concludes with chapters on generalized functions and Green's functions for ordinary and partial differential equations. The book deals almost exclusively with aspects of these subjects that are useful in physics and engineering, and includes a wide variety of applications. On the theoretical side, it uses ideas from modern analysis to develop the concepts and reasoning behind the techniques without getting bogged down in the technicalities of rigorous proofs.